(by Matthew Crabbe)
The FT ran a full page feature by John Plender this week on the future of financial innovation, post the financial crisis. Plender cites Robert Shiller’s claim that much of the recent damage could have been avoided if finance had been democratised and innovation used to manage individual homeowners’ house price risks, for example.
The democratisation of finance with new derivative hedging instruments is a fascinating idea. But how exactly would it happen in practice? Has it become more or less likely? Should we care?
I'm reminded of one of the most lucid and interesting discussions of the potential of financial derivatives: the lecture Robert Merton delivered on being awarded the Nobel Prize for economics (shared with Myron Scholes) back in 1997.
The full text of the lecture is here, and the following extract addresses the key challenge of just how it might become economic (this is 11 years ago, remember!) for banks to design and market derivative products that truly help individuals bundle and manage their life-cycle risks:
The creation of such customised financial instruments will be made economically feasible by the derivative-security pricing technology that permits the construction of custom products at assembly-line levels of cost. Paradoxically, making the products more user-friendly and simpler to understand for customers will create considerably more complexity for the producers of those products. Hence, financial-engineering creativity and the technological and transactional bases to implement that creativity reliably and cost-effectively are likely to become a central competitive element in the industry. The resulting complexity will require more elaborate and highly quantitative risk-management systems within financial service firms and a parallel need for more sophisticated approaches to government oversight. Neither of these can be achieved without greater reliance on mathematical financial modelling, which in turn will be feasible only with continued improvements in the sophistication and accuracy of financial models.
Merton went on in his lecture to make it clear that it would be a mistake for financial engineers to depend too much on the accuracy of those models.
It could be argued that the events of the past year have highlighted a more fundamental problem with the golden scenario he painted. Perhaps too small a number of large banks ended up with the technology required to manufacture and trade complex, derivatives-based, financial products. They made massive investments in the software and the brain-power required to grow their market share, but also ended up with dangerously illiquid assets, partly because the very size of those investments in software and brain power also became barriers to entry to new players.
In his FT article, Plender concludes that “the backlash to today’s financial crisis will inevitably provide tasks for the next generation of regulatory arbitrageurs”. Which means innovation is far from dead.
However, it’s hard to see how a more “democratic” financial marketplace will become possible unless regulators, governments and the derivatives industry itself actively work together to encourage a broader range of financial firms to trade complex financial instruments, where those instruments are deemed useful and fit for purpose. And that’s not exactly compatible with a backlash of regulation.
(AC adds: it's also worth remarking that it will be uphill work at the moment trying to convince banks that the next big business opportunity will involve constructing incredibly complex and necessarily illiquid - because customised rather than standardised - derivatives based on the residential property market!)